Model Quantization is a technique used to reduce the size and computational requirements of machine learning models by representing weights and activations with lower precision. This is particularly useful for deploying models on resource-constrained devices, such as mobile phones and embedded systems.
Neighbor communities
51015
Featured Papers
Title |
---|
All papers
Title |
---|
Loading #Papers per Month with "MQ"
Past speakers
Name (-) |
---|
Top contributors
Name (-) |
---|
Top institutes
Name (-) |
---|
Social Events
Date | Location | Event | |
---|---|---|---|
No social events available |